基于GF-1数据的耕地土壤镉(Cd)含量遥感估算方法

doi:10.13474/j.cnki.11-2246.2024.0302

测绘通报 ›› 2024, Vol. 0 ›› Issue (3): 8-12,94.doi: 10.13474/j.cnki.11-2246.2024.0302

基于GF-1数据的耕地土壤镉(Cd)含量遥感估算方法

张龙其^1,2, 郭云开^1,2, 董胜光³, 刘新良¹

1. 长沙理工大学交通运输工程学院, 湖南长沙 410114;
2. 长沙理工大学测绘遥感应用技术研究所, 湖南长沙 410114;
3. 湖南省第二测绘院, 湖南长沙 410009

收稿日期:2023-12-08 发布日期:2024-04-08
作者简介:张龙其(1977—),男,博士,讲师,主要从事遥感监测与交通GIS方面的教学与科研工作。E-mail: zhanglongqi@csust.edu.cn
基金资助:
湖南省自然资源科研项目(2021-02);长沙理工大学科研助推计划项目(2019QJCZ007);公路工程省部共建教育部重点实验室开放基金(KFJ100109);国家自然科学基金面向项目(41671446)

Methodology for estimating Cd content in farmland soil based on GF-1 remote sensing images

ZHANG Longqi^1,2, GUO Yunkai^1,2, DONG Shengguang³, LIU Xinliang¹

1. School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha 410114, China;
2. Institute of Mapping and Remote Sensing Application, Changsha University of Technology, Changsha 410114, China;
3. Hunan Provincial Second Surveying and Mapping Institute, Changsha 410009, China

Received:2023-12-08 Published:2024-04-08

摘要/Abstract

摘要： 本文采用多种光谱变换和回归分析方法探索了使用GF-1卫星影像监测耕地土壤镉(Cd)含量的可行性。首先针对获取的GF-1原始影像数据,在完成预处理及剔除植被信息后进行倒对数、平方根和反正弦平方根变换,生成4套光谱影像;然后分别用采样点5m缓冲区内各套影像光谱统计值与Cd含量进行相关性分析和多种回归分析。选择模型决定系数最高(>95%)的反正弦平方根变换后的自适应重加权回归方法构建的线性回归模型作为遥感估算模型。遥感估算结果在稻田积水、边缘地带等出现了异常估算值;笔者分析原因后应用线性插值的方法得到最终估算结果。相关性分析和建模精度表明该方法是可行的,有望应用于实际土壤质量监测和土地管理中。

关键词: 耕地土壤, Cd含量, GF-1, 光谱特征, 反演模型

Abstract: This study explores the feasibility of estimating soil cadmium (Cd) content in farmland using GF-1 remote sensing satellite imagery. Correlation and different regression analyses have been separately conducted with sample Cd content and logarithmic, square root, and inverse square root transformation of image spectral image, which is filtered out vegetation information in the pre-processed remote sensing images. The linear regression model, with an accuracy above 0.95, is selected using competitive adaptive reweighted resampling based on the inverse square root transformation. The remote sensing estimates results, however, revealed a significant number of anomalous values in areas such as ponds, flooded rice fields, rooftops, hardened road surfaces and so on. An interpolation is employed with neighboring normal estimates to replace these anomalies, resulting in the final estimated values. Correlation analysis and modeling accuracy assessments suggest that this method is feasible and holds promise for practical applications in soil quality monitoring and land management.

Key words: cultivated soil, cadmium content, GF-1, spectral characteristics, inversion model

中图分类号:

P237

张龙其, 郭云开, 董胜光, 刘新良. 基于GF-1数据的耕地土壤镉(Cd)含量遥感估算方法[J]. 测绘通报, 2024, 0(3): 8-12,94.

ZHANG Longqi, GUO Yunkai, DONG Shengguang, LIU Xinliang. Methodology for estimating Cd content in farmland soil based on GF-1 remote sensing images[J]. Bulletin of Surveying and Mapping, 2024, 0(3): 8-12,94.

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基于GF-1数据的耕地土壤镉(Cd)含量遥感估算方法

Methodology for estimating Cd content in farmland soil based on GF-1 remote sensing images

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